{"id":15893272,"url":"https://github.com/nunofachada/perfandpubtools","last_synced_at":"2025-08-14T07:31:29.191Z","repository":{"id":74270387,"uuid":"48292896","full_name":"nunofachada/perfandpubtools","owner":"nunofachada","description":"Performance analysis and publishing tools","archived":false,"fork":false,"pushed_at":"2019-09-10T16:32:03.000Z","size":228,"stargazers_count":3,"open_issues_count":0,"forks_count":3,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-04-02T14:22:06.504Z","etag":null,"topics":["benchmark","benchmarks","matlab","matlab-figure","matlab-toolbox","octave","octave-functions","octave-scripts","performance-analysis","plots","profiling","publishing","speedup"],"latest_commit_sha":null,"homepage":null,"language":"MATLAB","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/nunofachada.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":"CONTRIBUTING.md","funding":null,"license":"LICENSE","code_of_conduct":"CODE_OF_CONDUCT.md","threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null}},"created_at":"2015-12-19T18:28:40.000Z","updated_at":"2021-09-06T10:27:11.000Z","dependencies_parsed_at":"2023-07-12T04:45:11.490Z","dependency_job_id":null,"html_url":"https://github.com/nunofachada/perfandpubtools","commit_stats":null,"previous_names":[],"tags_count":4,"template":false,"template_full_name":null,"purl":"pkg:github/nunofachada/perfandpubtools","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nunofachada%2Fperfandpubtools","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nunofachada%2Fperfandpubtools/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nunofachada%2Fperfandpubtools/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nunofachada%2Fperfandpubtools/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/nunofachada","download_url":"https://codeload.github.com/nunofachada/perfandpubtools/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nunofachada%2Fperfandpubtools/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":270384103,"owners_count":24574526,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-08-14T02:00:10.309Z","response_time":75,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["benchmark","benchmarks","matlab","matlab-figure","matlab-toolbox","octave","octave-functions","octave-scripts","performance-analysis","plots","profiling","publishing","speedup"],"created_at":"2024-10-06T08:09:38.418Z","updated_at":"2025-08-14T07:31:28.877Z","avatar_url":"https://github.com/nunofachada.png","language":"MATLAB","funding_links":[],"categories":[],"sub_categories":[],"readme":"[![Latest release](https://img.shields.io/github/release/fakenmc/perfandpubtools.svg)](https://github.com/fakenmc/perfandpubtools/releases)\n[![Documentation](https://img.shields.io/badge/documentation-user_guide-brightgreen.svg)](docs/userguide.md)\n[![MIT Licence](https://img.shields.io/badge/license-MIT-yellowgreen.svg)](https://opensource.org/licenses/MIT/)\n\nPerfAndPubTools\n===============\n\n## What is PerfAndPubTools?\n\n**PerfAndPubTools** consists of a set of [MATLAB]/[Octave] functions for\nanalyzing software performance benchmark results and producing associated\npublication quality materials, mainly oriented towards _LaTeX_ outputs. If you\nuse this software please cite the following reference:\n\n* Fachada N, Lopes VV, Martins RC, Rosa AC., (2016).\nPerfAndPubTools – Tools for Software Performance Analysis and Publishing of\nResults. *Journal of Open Research Software*. 4(1), p.e18. \nhttp://doi.org/10.5334/jors.115\n\nThe [PerfAndPubTools User Guide](docs/userguide.md) describes the basic concepts\nand explains how to use the package by presenting two different use cases\nexemplifying the provided functionality.\n\n## Papers authored with the help of PerfAndPubTools\n\nHere's a list of papers authored with the help of **PerfAndPubTools**. If you\nwant your paper listed here, fork this repository, edit this file and open a\npull request. Alternatively,\n[open an issue](https://github.com/fakenmc/perfandpubtools/issues).\n\n* Fernandes CM, Fachada N, Merelo J, Rosa AC. (2019)\nSteady state particle swarm.\n*PeerJ Computer Science* 5:e202\nhttps://doi.org/10.7717/peerj-cs.202\n\n* Fachada N, Lopes VV, Martins RC, Rosa AC. (2017)\nParallelization strategies for spatial agent-based models. *International\nJournal of Parallel Programming*. 45(3):449–481.\nhttp://dx.doi.org/10.1007/s10766-015-0399-9\n([arXiv preprint](http://arxiv.org/abs/1507.04047))\n\n* Fachada N, Lopes VV, Martins RC, Rosa AC. (2017)\ncf4ocl: A C framework for OpenCL,\n[Science of Computer Programming](https://www.journals.elsevier.com/science-of-computer-programming),\n143:9–19, http://www.sciencedirect.com/science/article/pii/S0167642317300540\n([arXiv preprint](https://arxiv.org/abs/1609.01257))\n\n* Fachada N, Rosa AC. (2017)\nAssessing the feasibility of OpenCL CPU implementations for agent-based simulations,\n[Proceedings of the 5th International Workshop on OpenCL (IWOCL 2017)](http://www.iwocl.org/),\nArticle No. 4,\nhttp://doi.acm.org/10.1145/3078155.3078174\n\n## Output examples\n\n![Average speedup over selection sort](https://cloud.githubusercontent.com/assets/3018963/14715384/84054192-07e0-11e6-9da1-88bb990f4588.png)\n![Speedup over Bubble sort, LaTeX version](https://cloud.githubusercontent.com/assets/3018963/14691634/3681a91a-074a-11e6-818c-498c68d2f8f0.png)\n![Scalability of sorting algorithms with vector size](https://cloud.githubusercontent.com/assets/3018963/14691915/ca03003e-074b-11e6-85fd-155e7cf2314a.png)\n```\n                  -----------------------------------------------\n                  |                       vs Bubble             |\n-----------------------------------------------------------------\n| Imp.   | Set.   |   t(s)     |   std     |  std%  | x Bubble  |\n-----------------------------------------------------------------\n| Bubble |    1e5 |         36 |     0.887 |   2.46 |         1 |\n|        |    2e5 |        145 |      2.92 |   2.02 |         1 |\n|        |    3e5 |        325 |      6.19 |   1.90 |         1 |\n|        |    4e5 |        578 |      6.38 |   1.10 |         1 |\n-----------------------------------------------------------------\n| Select |    1e5 |       9.53 |     0.069 |   0.72 |      3.78 |\n|        |    2e5 |         38 |     0.283 |   0.74 |      3.81 |\n|        |    3e5 |       88.5 |       3.7 |   4.18 |      3.67 |\n|        |    4e5 |        154 |      3.06 |   1.99 |      3.76 |\n-----------------------------------------------------------------\n|  Merge |    1e5 |       0.02 |  3.66e-18 |   0.00 |   1.8e+03 |\n|        |    2e5 |      0.041 |   0.00316 |   7.71 |  3.53e+03 |\n|        |    3e5 |       0.06 |  1.46e-17 |   0.00 |  5.42e+03 |\n|        |    4e5 |      0.085 |    0.0127 |  14.93 |   6.8e+03 |\n-----------------------------------------------------------------\n|  Quick |    1e5 |       0.01 |  1.83e-18 |   0.00 |   3.6e+03 |\n|        |    2e5 |       0.02 |  3.66e-18 |   0.00 |  7.24e+03 |\n|        |    3e5 |       0.03 |  7.31e-18 |   0.00 |  1.08e+04 |\n|        |    4e5 |      0.051 |   0.00316 |   6.20 |  1.13e+04 |\n-----------------------------------------------------------------\n```\n![Scalability of on-demand parallelization strategy with block size for different simulation sizes](https://cloud.githubusercontent.com/assets/3018963/14706271/8e7c4fce-07b5-11e6-8ed5-09853541b4a4.png)\n![Performance table for different parallelization strategies](https://cloud.githubusercontent.com/assets/3018963/14706360/f6f17d18-07b5-11e6-926f-2314f9d59206.png)\n\n## Documents\n\n* [User Guide](docs/userguide.md)\n* [Contributing guidelines](CONTRIBUTING.md)\n* [Code of conduct](CODE_OF_CONDUCT.md)\n\n## License\n\n[MIT License](LICENSE)\n\n[Matlab]: http://www.mathworks.com/products/matlab/\n[Octave]: https://gnu.org/software/octave/\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnunofachada%2Fperfandpubtools","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fnunofachada%2Fperfandpubtools","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnunofachada%2Fperfandpubtools/lists"}